AI-based model can measure heart disease risk factor

Researchers from Viterbi School of Engineering at the University of Southern California (USC) in the US have developed an artificial intelligence (AI) based technique to detect cardiovascular disease.

The new approach is intended to offer an alternative for existing diagnostics and monitoring methods that are costly, invasive and indefinite.

Designed as a machine learning model called intrinsic frequency, the technique only requires a smartphone to capture a patient’s pulse data and analyse it for changes associated with the heart disease.